Cloud Platform Architect — Data & AI Integrations

BMW Group; Woodcliff Lake, Northern (NJ, KY); Hybrid; USD 63,000 - 125,000; Full time

Benefits offered by this job

Medical, Dental, Vision insurance

401(k) with company match

Employee vehicle program

Generous PTO and holidays

Voluntary benefits

Job summary

BMW Group in Woodcliff Lake, NJ is seeking a Platforms Implementation Architect to lead cloud-based platform solutions and data integration initiatives. You will translate business needs into scalable architectures, enforce governance and security, and drive AI/ML integration across enterprise platforms.

Ideal candidates have 5-7 years in platform or solution architecture within enterprise environments, with strong API and microservices expertise, and a collaboration-first mindset.

Qualifications

• The role requires platform architecture knowledge, microservices, APIs, and cloud-native design.
• Experience defining data strategies, governance frameworks, and AI/ML concepts.
• Familiarity with Agile methodologies and DevOps practices.

Responsibilities

• Lead architecture, design, and deployment of scalable cloud platform solutions.
• Translate requirements into robust platform architectures via cross-functional collaboration.
• Define platform standards, governance, security, and best practices for consistency.
• Oversee integrations to ensure reliable data flow across apps and services.
• Drive data integration strategy including pipelines, ingestion, quality, and lineage.
• Partner with PMO, security, compliance, and risk teams to align delivery and risk.

Skills

Platform architecture

Microservices

APIs

Cloud-native design

Data governance

AI/ML concepts

Agile & DevOps

Cross-functional leadership

Automotive OEM experience

Education

Bachelor's or Master's in CS/IT/Data Science

Job description

BMW Group in Woodcliff Lake, NJ is seeking a Platforms Implementation Architect to lead cloud-based platform solutions and data integration initiatives. You will translate business needs into scalable architectures, enforce governance and security, and drive AI/ML integration across enterprise platforms.

Ideal candidates have 5-7 years in platform or solution architecture within enterprise environments, with strong API and microservices expertise, and a collaboration-first mindset.